• DocumentCode
    2732239
  • Title

    Using Star-P® on DoD High Performance Computing Systems

  • Author

    Elton, Bracy H. ; Samsi, Siddharth ; Smith, Harrison B. ; Humphrey, Laura ; Ahalt, Stanley ; Chalker, Alan ; Srivastava, Niraj ; Abdullah, Aquil H. ; Boyle, Patrick

  • Author_Institution
    Ohio Supercomput. Center, Columbus, OH, USA
  • fYear
    2009
  • fDate
    15-18 June 2009
  • Firstpage
    388
  • Lastpage
    391
  • Abstract
    This paper provides a step-by-step demonstration of a Very High Level Language system, Star-P, on Department of Defense (DoD) high performance computing (HPC) systems. Specifically, we demonstrate how to effect parallel computing in MATLAB and Python via Star-P on the DoD Supercomputing Resource Center (DSRC) Army Research Laboratory (ARL) 4,488-core Intel Woodcrest MJM system. We demonstrate how to run various Star-P/MATLAB and Star-P/Python programs in parallel on the ARL DSRC MJM system. The results will focus on the use of Star-P software platform and how it delivers mission tempo by enabling rapid application prototyping and allowing transparent use of DSRC HPC resources from familiar desktop environments, such as Microsoft Windows and Linux.
  • Keywords
    Linux; high level languages; military computing; parallel processing; Department of Defense; DoD Supercomputing Resource Center; DoD high performance computing systems; Intel Woodcrest MJM system; Linux; Matlab; Microsoft Windows; Python; Star-P high-level language; parallel computing; Algorithm design and analysis; Linux; MATLAB; Scalability; Servers; Tomography; US Department of Defense;
  • fLanguage
    English
  • Publisher
    ieee
  • Conference_Titel
    DoD High Performance Computing Modernization Program Users Group Conference (HPCMP-UGC), 2009
  • Conference_Location
    San Diego, CA
  • Print_ISBN
    978-1-4244-5768-7
  • Type

    conf

  • DOI
    10.1109/HPCMP-UGC.2009.64
  • Filename
    5729495